Evidence map›Paper›PMID 34169191›Full record

ReviewKidney international reports2021

Data Challenges in Addressing Chronic Kidney Disease in Low- and Lower-Middle-Income Countries.

Benjamin Talbot, Akshay Athavale, Vivekanand Jha, Martin Gallagher

Abstract readReview
In one paragraph

Review in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Global kidney health priorities-perspectives from the ISN-GKHA.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benjamin TalbotThe George Institute for Global Health, University of New South Wales, Sydney, Australia.
Akshay AthavaleRoyal Prince Alfred Hospital, Sydney, New South Wales, Australia.
Vivekanand JhaThe George Institute for Global Health, University of New South Wales, New Delhi, India.
Martin GallagherThe George Institute for Global Health, University of New South Wales, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The burden of chronic kidney disease (CKD) is growing globally, particularly in low- and lower-middle-income countries (LLMICs) where access to treatment is poor and the largest increases in disease burden will occur. The individual and societal costs of kidney disease are well recognized, especially in developed health care systems where treatments for the advanced stages of CKD are more readily available. The consequences of CKD are potentially more catastrophic in developing health care systems where such resources are often lacking. Central to addressing this challenge is the availability of data to understand disease burden and ensure that investments in treatments and health resources are effective at a local level. Use of routinely collected administrative data is helpful in this regard, however, the barriers to developing a more systematic focus on data collection should not be underestimated. This article reviews the current tools that have been used to measure the burden of CKD and considers limitations regarding their use in LLMICs. A review of the literature investigating the use of registries, disease specific databases and administrative data to identify populations with CKD in LLMICs, which indicate these to be underused resources, is included. Suggestions regarding the potential use of administrative data for measuring CKD burden in LLMICs are explored.

Indexed as

cardiovascular diseasechronic kidney diseaseepidemiologyhealth systemslow- and lower-middle-income countriessurveillance

Identifiers

PMID34169191
PMCPMC8207309

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.